Table 2.
The P values of the influence of the respective GV measures themselves, as well as effect modification and the Δ of confounding, calculated from the respective slopes (B and B′) from the regression equations, on the HbA1c-MPG relationship for all patients pooled and for type 1 and type 2 diabetic patients separately
Influence of the GV measure (P) | Slope of MPG (B) in the main regression formula | Slope of MPG (B′) in the regression formula with the GV measure | ΔConfounding (%)* | Effect modification (P) | |
---|---|---|---|---|---|
SD | |||||
All | <0.01 | 2.818 | 2.624 | 6.9 | 0.06 |
Type 1 diabetic | 0.01 | 2.781 | 2.631 | 5.4 | <0.01 |
Type 2 diabetic | 0.06 | 2.782 | 2.637 | 5.2 | 0.74 |
MAGE | |||||
All | <0.01 | 2.818 | 2.700 | 4.2 | 0.37 |
Type 2 diabetic | 0.19 | 2.781 | 2.721 | 2.2 | 0.06 |
Type 2 diabetic | 0.19 | 2.782 | 2.698 | 3.0 | 0.19 |
CONGA4 | |||||
All | <0.01 | 2.818 | 2.667 | 5.4 | 0.15 |
Type 1 diabetic | 0.06 | 2.781 | 2.687 | 3.4 | 0.02 |
Type 2 diabetic | 0.07 | 2.782 | 2.661 | 4.3 | 0.46 |
*ΔConfounding in % = 100 × absolute (B′ – B)/B.